Published December 30, 2023 | Version CC BY-NC-ND 4.0
Journal article Open

Emerging Trends of web Mining Through Cloud Mining (Bitcoin) in Business Companies

Creators

  • 1. Asst. Professor, Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia.

Contributors

Contact person:

  • 1. Asst. Professor, Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia,
  • 2. Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia.

Description

Abstract: In this paper we show research about how to mine valuable knowledge on the web mining through cloud mining in business companies and comparison about web mine. This paper illustrates the recent, previous, and upcoming web mining by cloud mining. Now we initiate real-time data set for recovery facts on the network i.e., web content mining, and the detection of client approach relationships from cloud servers, i.e., web management mining that enhance the web mining problems. Moreover, we similarly illustrated web mining through cloud mining in business companies. Cloud mining is an upcoming Web Mining. That is the main benefit of the company looking after all the usual mining problems. Cloud mining decreases the costs correlated with running a mining rig. Cloud mining is a procedure to mine cryptocurrency like bitcoin, by leased cloud computing operate without connecting or promptly governing the hardware and associated software. The initial processor that has observed a result to the problem catches the succeeding Bitcoin block, and the procedure remains. Bitcoin mining needs advanced hardware to explain difficult calculations and arithmetic challenges. In this paper we have discussed to work and is beneficial for business companies. We have proposed a structure for a cloud mining service. These services are supported by business model and strategy, hardware procurement and setup, user interface and dashboard and customer support and education etc. Cloud mining service deals are often tricks, or rip-offs. Cloud mining suppliers and companies benefit by leasing away their hardware in replace for funds. Trading mining hardware seems like a prospect’s agreement for saving ruses.

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Additional details

Identifiers

DOI
10.35940/ijeat.B4319.1213223
ISSN
2249-8958

Dates

Accepted
2023-12-15
Manuscript received on 10 October 2023 | Revised Manuscript received on 16 October 2023 | Manuscript Accepted on 15 December 2023 | Manuscript published on 30 December 2023

References

  • Abraham, Ajith, "Business Intelligence from Web Usage Mining, journal of Information & Knowledge Management", Vol 2, No.4, 2003.
  • Getoor, L., "Link Mining: A New Data Mining Challenge. SIGKDD Explorations", Vol 4 No. 2, 2003. https://doi.org/10.1145/959242.959253
  • Mobasher,B., "Web Usage Mining and Personalization", Practical Handbook of Internet Computing, ed. M.P. Singh, CRC Press, 2005. https://doi.org/10.1201/9780203507223.ch15
  • Tiwari Sonal, "A Web Usage Mining Framework for Business Intelligence" International Journal of Electronics Communication and Computer Technology (IJECCT) Volume 1 Issue 1 | September 2011 Singh, K., "The comparison of various decision tree algorithms for data analysis," International Journal of Engineering and Computer Science, vol. 6, no. 6, pp. 21557–21562, 2017.
  • Ohri Ajay, "Data mining through Cloud Computing". http://knol.google.com/k/data-mining-through-cloud-computing# See in Dec. 2010.
  • Sravanthi Kaikala Anjani et. al, "Web Mining Using Cloud Computing", ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 4, April 2013.
  • Raich Vivek, et.al, "Performance Improvement of Software as a Service and Platform as a Service in Cloud Computing Solution", ISROSET-International Journal of Scientific Research in Computer Science and Engineering, Volume-01, Issue-06, Page No (13-16), Nov -Dec 2013.
  • Shah Rajesh and Jain Suresh, Web Mining Using Cloud Computing Technology ISROSET- Int. J. Sci. Res. in Computer Science & Engineering Vol-3(2), PP (21-25) Apr 2015, E-ISSN: 2320-7639.
  • https://earthweb.com/how-many-bitcoins-are-mined-per-day/
  • Deyi Li, Kaichang Di, Deren Li and Xuemei Shi, "Mining association rules with linguistic cloud models", Research and Development in Knowledge Discovery and Data Mining, Lecture Notes in Computer Science, 1998.
  • Sharma Kavita et,al, Web Mining: Today and Tomorrow 978-1-4244-8679-3/11/$26.00 ©2011 IEEE.
  • Muhammd Jawad Hamid Mughal, "Data Mining: Web Data Mining Techniques, Tools and Algorithms: An Overview", (IJACSA) International journal of Advanced Computer Science and Applications, Vol. 9, No. 6, 2018Rehman, T. U., Mahmud, M., S., Chang, J. K., Jin, Shin, J. Comp. Electron. Agric. 156, 585 (2019). https://doi.org/10.14569/IJACSA.2018.090630
  • Kumar Anurag and Singh Ravi Kumar, "Web Mining Overview, Techniques, Tools and Applications: A Survey," International Research Journal of Engineering and Technology (IRJET), vol. 03, no. 12, pp. 1543-1547, December 2016.
  • Kaur Simranjeet and Kaur Kiranbir, "Web Mining and Data Mining: A Comparative Approach," International Journal of Novel Research in Computer Science and Software Engineering, vol. 2, no. 1, pp. 36-42, January - April 2015.
  • Ahmad Tasnim Siddiqui and Aljahdali Sultan, "Web Mining Techniques in E-Commerce Applications," International Journal of Computer Applications, vol. 69– No.8, pp. 39-43, May 2013. https://doi.org/10.5120/11864-7648
  • Pol Kshitija, et.al, "A Survey on Web Content Mining and extraction of Structured and Semistructured data," Emerging Trends in Engineering and Technology, pp. 543-546, July 2008. https://doi.org/10.1109/ICETET.2008.251
  • Malarvizhi R. and Saraswathi K., "Web Content Mining Techniques Tools & Algorithms – A Comprehensive Study," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 8, pp. 2940-2945, August 2013.
  • Herrouz Abdelhakim, et.al, "Overview of Web Content Mining Tools," The International Journal of Engineering and Science (IJES), vol. 2, no. 6, June 2013.
  • Kumar Anurag and Singh Ravi Kumar, "A Study on Web Structure Mining," International Research Journal of Engineering and Technology (IRJET), vol. 04, no. 1, pp. 715-720, January 2017.
  • S. S. Bhamare* and B. V. Pawar, "Feature Based Identification of Web Page Noise through K-Means Clustering," International Journal of Innovative Technology and Exploring Engineering, vol. 9, no. 3. Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, pp. 1966–1970, Jan. 30, 2020. doi: 10.35940/ijitee.c9023.019320. Available: http://dx.doi.org/10.35940/ijitee.C9023.019320
  • D. Sarddar* and S. Chakraborty, "Data as a Service using Data Hibernation and Service Oriented Architecture in Cloud Computing," International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 5. Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, pp. 2432–2436, Jan. 30, 2020. doi: 10.35940/ijrte.e5004.018520. Available: http://dx.doi.org/10.35940/ijrte.E5004.018520
  • A. Kaushal and S. Singh, "Performance Optimization by Task Scheduling in Cloud Computing," International Journal of Engineering and Advanced Technology, vol. 9, no. 1s. Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, pp. 20–24, Dec. 14, 2019. doi: 10.35940/ijeat.a1004.1091s19. Available: http://dx.doi.org/10.35940/ijeat.A1004.1091S19.
  • Dr. H. Kaur and Prof. A. Kaur, "Cryptography in Cloud Computing," Indian Journal of Cryptography and Network Security, vol. 1, no. 1. Lattice Science Publication (LSP), pp. 1–2, May 10, 2021. doi: 10.54105/ijcns.a1402.051121. Available: http://dx.doi.org/10.54105/ijcns.A1402.051121
  • N. Kumar*, "Key Factors for Improved Adoption of Emerging Technologies in Organizations Fueled by Design Thinking," International Journal of Management and Humanities, vol. 4, no. 12. Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, pp. 1–4, Aug. 15, 2020. doi: 10.35940/ijmh.l1077.0841220. Available: http://dx.doi.org/10.35940/ijmh.L1077.0841220